On Some Ways to Implement State–Multiplicative Fault Detection in Discrete–Time Linear Systems

IF 1.6 4区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS International Journal of Applied Mathematics and Computer Science Pub Date : 2022-06-01 DOI:10.34768/amcs-2022-0017
D. Krokavec, A. Filasová
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引用次数: 2

Abstract

Abstract New design conditions on the observer based residual filter design for the linear discrete-time linear systems with zoned system parameter faults are presented. With respect to time evolution of residual signals and with a guarantee of their robustness, the design task is stated in terms of linear matrix inequalities, while the recursive implementation of algorithms is motivated by the platform existence for real-time processing. A major objective is to analyze the configuration required and, in particular, a new characterization of the norm boundaries of the multiplicative zonal parametric faults to be projected onto the structure of the set of linear matrix inequalities.
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离散线性系统状态乘性故障检测的几种实现方法
摘要针对具有分区系统参数故障的线性离散线性系统,提出了基于观测器的残差滤波器设计的新设计条件。考虑残差信号的时间演化,在保证其鲁棒性的前提下,用线性矩阵不等式来表述设计任务,而算法的递归实现则是基于实时处理平台的存在。主要目的是分析所需的配置,特别是将乘法带参数断层的范数边界的新特征投影到线性矩阵不等式集的结构上。
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来源期刊
CiteScore
4.10
自引率
21.10%
发文量
0
审稿时长
4.2 months
期刊介绍: The International Journal of Applied Mathematics and Computer Science is a quarterly published in Poland since 1991 by the University of Zielona Góra in partnership with De Gruyter Poland (Sciendo) and Lubuskie Scientific Society, under the auspices of the Committee on Automatic Control and Robotics of the Polish Academy of Sciences. The journal strives to meet the demand for the presentation of interdisciplinary research in various fields related to control theory, applied mathematics, scientific computing and computer science. In particular, it publishes high quality original research results in the following areas: -modern control theory and practice- artificial intelligence methods and their applications- applied mathematics and mathematical optimisation techniques- mathematical methods in engineering, computer science, and biology.
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